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Strip-Plot Designs

Strip-Plot Designs

Strip-Plot Designs. Sometimes called split-block design For experiments involving factors that are difficult to apply to small plots Three sizes of plots so there are three experimental errors The interaction is measured with greater precision than the main effects. S3 S1 S2.

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3.37k views • 33 slides
Split-Plot Designs

Split-Plot Designs

Split-Plot Designs. Usually used with factorial sets when the assignment of treatments at random can cause difficulties large scale machinery required for one factor but not another irrigation tillage plots that receive the same treatment must be grouped together

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781 views • 24 slides
Control of Experimental Error

Control of Experimental Error

Control of Experimental Error. Blocking - A block is a group of homogeneous experimental units Maximize the variation among blocks in order to minimize the variation within blocks Reasons for blocking To remove block to block variation from the experimental error (increase precision)

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801 views • 21 slides
Control of Experimental Error

Control of Experimental Error

Control of Experimental Error. Blocking - A block is a group of homogeneous experimental units Maximize the variation among blocks in order to minimize the variation within blocks Reasons for blocking To remove block to block variation from the experimental error (increase precision)

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283 views • 21 slides
Three-Factor Experiments

Three-Factor Experiments

Three-Factor Experiments. Design selection, treatment composition, and randomization remain the same Each additional factor adds a layer of complexity to the analysis In a 3-factor experiment we estimate and test: 3 main effects 3 two-factor interactions (first order)

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411 views • 16 slides

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